def _acceptSubmission(request, course, exercise, post_url, sdir):
'''
Queues the submission for grading.
'''
uids = get_uid(request)
attempt = int(request.GET.get("ordinal_number", 1))
if "submission_url" in request.GET:
surl = request.GET["submission_url"]
surl_missing = False
else:
LOGGER.warning("submission_url missing from a request")
surl = request.build_absolute_uri(reverse('test-result'))
surl_missing = True
_acceptSubmission.counter += 1
# Order container for grading.
c = _requireContainer(exercise)
course_extra = {
"key": course["key"],
"name": course["name"],
}
exercise_extra = {
"key":
exercise["key"],
"title":
exercise.get("title", None),
"resources":
c.get("resources",
{}), # Unofficial param, implemented differently later
"require_constant_environment":
c.get("require_constant_environment",
False) # Unofficial param, implemented differently later
}
if exercise.get("personalized", False):
exercise_extra["personalized_exercise"] \
= select_generated_exercise_instance(course, exercise, uids, attempt)
sid = os.path.basename(sdir)
write_submission_meta(
sid, {
"url": surl,
"dir": sdir,
"course_key": course["key"],
"exercise_key": exercise["key"],
"lang": translation.get_language(),
})
r = invoke([
settings.CONTAINER_SCRIPT,
sid,
request.scheme + "://" + request.get_host(),
c["image"],
os.path.join(DIR, course["key"], c["mount"]),
sdir,
c["cmd"],
json.dumps(course_extra),
json.dumps(exercise_extra),
])
LOGGER.debug("Container order exit=%d out=%s err=%s", r["code"], r["out"],
r["err"])
qlen = 1
return render_template(request, course, exercise, post_url,
"access/async_accepted.html", {
"accepted": True,
"wait": True,
"missing_url": surl_missing,
"queue": qlen
})
def _acceptSubmission(request, course, exercise, post_url, sdir):
'''
Queues the submission for grading.
'''
uids = get_uid(request)
attempt = int(request.GET.get("ordinal_number", 1))
container_flag = settings.CONTAINER_MODE and "container" in exercise
# Backup synchronous grading.
if not container_flag and not settings.CELERY_BROKER:
LOGGER.warning("No queue configured")
from grader.runactions import runactions
r = runactions(course, exercise, sdir, uids, attempt)
html = template_to_str(course, exercise, "", r["template"],
r["result"])
return render_template(
request, course, exercise, post_url, "access/async_accepted.html",
{
"synchronous": True,
"accepted": True,
"max_points": r["result"].get("max_points", 1),
"points": r["result"].get("points", 0),
"feedback": html,
})
if "submission_url" in request.GET:
surl = request.GET["submission_url"]
surl_missing = False
else:
LOGGER.warning("submission_url missing from a request")
surl = request.build_absolute_uri(reverse('test-result'))
surl_missing = True
_acceptSubmission.counter += 1
# Order container for grading.
if container_flag:
c = _requireContainer(exercise)
course_extra = {
"key": course["key"],
"name": course["name"],
}
exercise_extra = {
"key": exercise["key"],
"title": exercise.get("title", None),
}
if exercise.get("personalized", False):
exercise_extra["personalized_exercise"] \
= select_generated_exercise_instance(course, exercise, uids, attempt)
if settings.ENABLE_PERSONAL_DIRECTORIES:
exercise_extra["personal_directory"] \
= user_personal_directory_path(course, exercise, uids)
sid = os.path.basename(sdir)
write_submission_meta(sid, {
"url": surl,
"dir": sdir,
})
r = invoke([
settings.CONTAINER_SCRIPT,
sid,
request.scheme + "://" + request.get_host(),
c["image"],
os.path.join(DIR, course["key"], c["mount"]),
sdir,
c["cmd"],
json.dumps(course_extra),
json.dumps(exercise_extra),
])
LOGGER.debug("Container order exit=%d out=%s err=%s", r["code"],
r["out"], r["err"])
qlen = 1
# Queue in celery & rabbitmq for chroot sandbox actions.
else:
tasks.grade.delay(course["key"], exercise["key"],
translation.get_language(), surl, sdir, uids,
attempt)
qlen = queue_length()
LOGGER.debug("Submission of %s/%s, queue counter %d, queue length %d",
course["key"], exercise["key"], _acceptSubmission.counter,
qlen)
if qlen >= settings.QUEUE_ALERT_LENGTH:
LOGGER.error("Queue alert, length: %d", qlen)
return render_template(request, course, exercise, post_url,
"access/async_accepted.html", {
"accepted": True,
"wait": True,
"missing_url": surl_missing,
"queue": qlen
})
def _acceptSubmission(request, course, exercise, post_url, sdir):
'''
Queues the submission for grading.
'''
uids = get_uid(request)
attempt = int(request.GET.get("ordinal_number", 1))
container_flag = settings.CONTAINER_MODE and "container" in exercise
# Backup synchronous grading.
if not container_flag and not settings.CELERY_BROKER:
LOGGER.warning("No queue configured")
from grader.runactions import runactions
r = runactions(course, exercise, sdir, uids, attempt)
html = template_to_str(course, exercise, "", r["template"], r["result"])
return render_template(request, course, exercise, post_url,
"access/async_accepted.html", {
"synchronous": True,
"accepted": True,
"max_points": r["result"].get("max_points", 1),
"points": r["result"].get("points", 0),
"feedback": html,
})
if "submission_url" in request.GET:
surl = request.GET["submission_url"]
surl_missing = False
else:
LOGGER.warning("submission_url missing from a request")
surl = request.build_absolute_uri(reverse('test-result'))
surl_missing = True
_acceptSubmission.counter += 1
# Order container for grading.
if container_flag:
c = _requireContainer(exercise)
course_extra = {
"key": course["key"],
"name": course["name"],
}
exercise_extra = {
"key": exercise["key"],
"title": exercise.get("title", None),
"resources": c.get("resources", {}), # Unofficial param, implemented differently later
"require_constant_environment": c.get("require_constant_environment", False) # Unofficial param, implemented differently later
}
if exercise.get("personalized", False):
exercise_extra["personalized_exercise"] \
= select_generated_exercise_instance(course, exercise, uids, attempt)
if settings.ENABLE_PERSONAL_DIRECTORIES:
exercise_extra["personal_directory"] \
= user_personal_directory_path(course, exercise, uids)
sid = os.path.basename(sdir)
write_submission_meta(sid, {
"url": surl,
"dir": sdir,
"course_key": course["key"],
"exercise_key": exercise["key"],
"lang": translation.get_language(),
})
r = invoke([
settings.CONTAINER_SCRIPT,
sid,
request.scheme + "://" + request.get_host(),
c["image"],
os.path.join(DIR, course["key"], c["mount"]),
sdir,
c["cmd"],
json.dumps(course_extra),
json.dumps(exercise_extra),
])
LOGGER.debug("Container order exit=%d out=%s err=%s",
r["code"], r["out"], r["err"])
qlen = 1
# Queue in celery & rabbitmq for chroot sandbox actions.
else:
tasks.grade.delay(course["key"], exercise["key"],
translation.get_language(), surl, sdir, uids, attempt)
qlen = queue_length()
LOGGER.debug("Submission of %s/%s, queue counter %d, queue length %d",
course["key"], exercise["key"], _acceptSubmission.counter, qlen)
if qlen >= settings.QUEUE_ALERT_LENGTH:
LOGGER.error("Queue alert, length: %d", qlen)
return render_template(request, course, exercise, post_url,
"access/async_accepted.html", {
"accepted": True,
"wait": True,
"missing_url": surl_missing,
"queue": qlen
})